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Fraud Detection Machine Learning Jobs in Utah (NOW HIRING)

About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We're a ... Lead consultative conversations with CISOs, fraud leaders, brand protection teams, and other senior ...

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... Champion AI-native tooling across the team; evaluate and implement AI-assisted detection, threat ...

... anomaly detection, trend analysis, forecasting, and variance reporting. * Maintain visibility ... Establish financial visibility and governance models for AI and machine learning workloads ...

TEAM OVERVIEW The Machine Learning and Artificial Intelligence team in PRX (Production Runtime ... Building on strengths in statistical modelling, anomaly detection, predictive modelling, and time ...

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Sets up and operates fabricating machines, such as brakes, rolls, shears, flame cutters, and drill ... Detect nonconformities * Document actions by completing production and quality logs * Other duties ...

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Fraud Detection Machine Learning information

See Utah salary details

$9

$16

$24

How much do fraud detection machine learning jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for fraud detection machine learning in Utah is $16.43, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $17.50 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Fraud Detection Machine Learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are the key skills and qualifications needed to thrive as a Fraud Detection Machine Learning Specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What are popular job titles related to Fraud Detection Machine Learning jobs in Utah? For Fraud Detection Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Utah look for? The top searched job categories for Fraud Detection Machine Learning jobs in Utah are:
What cities in Utah are hiring for Fraud Detection Machine Learning jobs? Cities in Utah with the most Fraud Detection Machine Learning job openings:

AVP, Portfolio Credit Manager - Health & Wellness

Synchrony Financial

Draper, UT

Full-time

Posted 3 days ago


Synchrony Financial rating

9.0

Company rating: 9.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

2nd of 138 rated financial services


Job description

Role Summary/Purpose:

This role will provide analytics and reporting support required for development and monitoring of revolving and installment credit products and strategies across the Health & Wellness (H&W) Network.

This cross functional role may span across multiple credit/fraud lifecycles and across multiple H&W product offerings. Core responsibilities include credit and operational risk evaluation; delinquency, loss and fraud mitigation; risk/reward optimization; enforcement of credit policies; and portfolio monitoring & reporting.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commuteto your nearestHub (either virtual or physical) for in-person engagement activities such asregularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Essential Responsibilities:

  • Support development and enhancement of new and existing credit strategies across revolving and installment credit products, utilizing advanced underwriting techniques to balance risk-reward tradeoff and drive profitable growth.

  • Partner with Strategy Team counterparts to obtain appropriate approvals and execute on rollout of credit strategies.

  • Support creation of presentations to senior leadership team to communicate new product/strategy design and post-launch measurement of credit performance and the differences in effectiveness of alternative credit strategies.

  • Mange the Investment Review Sub-Committee credit process for deal review.

  • Understand portfolio nuances to identify and communicate how acquisition actions impact overall portfolio performance and profitability.

  • Act as Liaison between Credit and Sales team to research and provide answer to Provider inquiries.

  • Work effectively crossfunctionally to drive balanced growth and Provider satisfaction.

  • Enforcement of existing Bank credit policies.

  • Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

  • Bachelor's degree and 4+ years of experience in a strategic analytical role, and/or commercial Credit/Risk, Finance, or Analytics role; or in lieu of a bachelor's degree, 8+ years of experience in strategic analytical role

  • 2+ years' experience analyzing large data sets to derive strategic actionable credit insights including SAS, R or Python Programming Skills, 2+ years SQL Skills

  • Experience operating at a strategic level as part of a cross functional team

  • Ability and flexibility to travel for business as required

Desired Characteristics:

  • Master's Degree or MBA with advanced analytic focus, or equivalent advanced degree

  • Experience using advanced modeling & data mining techniques (e.g. Machine learning, Big Data) to develop/ optimize Credit strategies

  • Experience developing Consumer Credit Risk Strategies

  • Strong communication and presentation skills and the ability to interact with and present to senior leaders and clients

  • Experience with commercial lending products and practices

Grade/Level: 10

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time

Job Family Group:

Credit

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